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A moment invariant for evaluating the chirality of three-dimensional objects

机译:用于评估三维对象手性的矩不变性

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摘要

Chirality is an important feature of three-dimensional objects and a key concept in chemistry, biology and many other disciplines. However, it has been difficult to quantify, largely owing to computational complications. Here we present a general chirality measure, called the chiral invariant (CI), which is applicable to any three-dimensional object containing a large amount of data. The CI distinguishes the hand of the object and quantifies the degree of its handedness. It is invariant to the translation, rotation and scale of the object, and tolerant to a modest amount of noise in the experimental data. The invariant is expressed in terms of moments and can be computed in almost no time. Because of its universality and computational efficiency, the CI is suitable for a wide range of pattern-recognition problems. We demonstrate its applicability to molecular atomic models and their electron density maps. We show that the occurrence of the conformations of the macromolecular polypeptide backbone is related to the value of the CI of the constituting peptide fragments. We also illustrate how the CI can be used to assess the quality of a crystallographic electron density map.
机译:手性是三维物体的重要特征,也是化学,生物学和许多其他学科的关键概念。但是,由于计算复杂性,很难量化。在这里,我们介绍了一种通用的手征性度量,称为手征不变量(CI),它适用于包含大量数据的任何三维对象。 CI区分对象的手并量化其手感程度。它不受对象平移,旋转和缩放的影响,并且可以容忍实验数据中的少量噪声。不变性用力矩表示,几乎可以在任何时间内计算出来。由于CI具有通用性和计算效率,因此它适用于各种模式识别问题。我们证明了其适用于分子原子模型及其电子密度图。我们表明,大分子多肽主链构象的发生与构成肽片段的CI的值有关。我们还将说明如何使用CI来评估晶体电子密度图的质量。

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